{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "098803cd",
   "metadata": {},
   "source": [
    "# 量化金融\n",
    "\n",
    "\n",
    "## 课程内容\n",
    "\n",
    "* 量化金融相关数据\n",
    "* 基本金融概念与模型\n",
    "* 量化策略入门\n",
    "\n",
    "\n",
    "## 课程前的话\n",
    "\n",
    "有关炒股\n",
    "\n",
    "https://www.ixigua.com/7055478340152459815?logTag=c912cfac5bdad7797119\n",
    "\n",
    "https://www.ixigua.com/6888519304313209344\n",
    "\n",
    "\n",
    "## 现有的量化投资平台\n",
    "\n",
    "* 聚宽，米筐，优矿，bigquant,掘金等等，现状\n",
    "\n",
    "* 金融数据接口\n",
    "\n",
    "https://zhuanlan.zhihu.com/p/219633414\n",
    "\n",
    "\n",
    "## 掘金量化工具的安装\n",
    "\n",
    "\n",
    "* 快速开始-软件的安装\n",
    "\n",
    "https://www.myquant.cn/docs/guide/guide#f9d63e90a4affc1d\n",
    "\n",
    "可以通过群文件下载相关软件\n",
    "\n",
    "需要手机号注册账号\n",
    "\n",
    "sdk的安装 gm\n",
    "\n",
    "\n",
    "## 库的安装\n",
    "\n",
    "pyecharts\n",
    "\n",
    "pip install pyecharts -i http://mirrors.aliyun.com/pypi/simple/ --trusted-host=mirrors.aliyun.com\n",
    "\n",
    "\n",
    "talib\n",
    "\n",
    "https://blog.csdn.net/u010671948/article/details/79714647\n",
    "\n",
    "QuantLib 安装和talib类似"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "528840c2",
   "metadata": {},
   "source": [
    "## classwork1\n",
    "\n",
    "* 安装掘金量化软件及其sdk\n",
    "* pyecharts，talib，导入这两个库并截图"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "218db89c",
   "metadata": {},
   "source": [
    "## 掘金平台提供的函数\n",
    "\n",
    "https://www.myquant.cn/docs/python/python_sdk\n",
    "\n",
    "\n",
    "* 注意有些函数是可以用在notebook里的，有些则只能在掘金软件里调用\n",
    "\n",
    "### history_data 用来提取股票的历史价格数据，可以在notebook里使用\n",
    "\n",
    "* 注意symbol的使用规范\n",
    "* 股票的tick概念及其相关价格\n",
    "* 前后复权\n",
    "* 股价的意义？"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "e1454a9b",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\n",
       "\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>open</th>\n",
       "      <th>close</th>\n",
       "      <th>low</th>\n",
       "      <th>high</th>\n",
       "      <th>eob</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>20.8482</td>\n",
       "      <td>20.5742</td>\n",
       "      <td>20.3588</td>\n",
       "      <td>20.9167</td>\n",
       "      <td>2020-07-28 00:00:00+08:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>20.5546</td>\n",
       "      <td>20.9657</td>\n",
       "      <td>20.1631</td>\n",
       "      <td>20.9755</td>\n",
       "      <td>2020-07-29 00:00:00+08:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>20.9559</td>\n",
       "      <td>20.8580</td>\n",
       "      <td>20.7895</td>\n",
       "      <td>21.5236</td>\n",
       "      <td>2020-07-30 00:00:00+08:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>20.6035</td>\n",
       "      <td>20.6623</td>\n",
       "      <td>20.4078</td>\n",
       "      <td>21.1321</td>\n",
       "      <td>2020-07-31 00:00:00+08:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>20.6525</td>\n",
       "      <td>21.0440</td>\n",
       "      <td>20.6035</td>\n",
       "      <td>21.2985</td>\n",
       "      <td>2020-08-03 00:00:00+08:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>27.1500</td>\n",
       "      <td>26.5000</td>\n",
       "      <td>26.3300</td>\n",
       "      <td>27.2800</td>\n",
       "      <td>2021-07-26 00:00:00+08:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>26.7800</td>\n",
       "      <td>25.1000</td>\n",
       "      <td>25.0500</td>\n",
       "      <td>26.9600</td>\n",
       "      <td>2021-07-27 00:00:00+08:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>244</th>\n",
       "      <td>24.9300</td>\n",
       "      <td>24.9400</td>\n",
       "      <td>24.5200</td>\n",
       "      <td>25.3800</td>\n",
       "      <td>2021-07-28 00:00:00+08:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245</th>\n",
       "      <td>25.3500</td>\n",
       "      <td>25.5800</td>\n",
       "      <td>25.0100</td>\n",
       "      <td>25.8200</td>\n",
       "      <td>2021-07-29 00:00:00+08:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246</th>\n",
       "      <td>25.2400</td>\n",
       "      <td>24.8200</td>\n",
       "      <td>24.6000</td>\n",
       "      <td>25.2500</td>\n",
       "      <td>2021-07-30 00:00:00+08:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>247 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        open    close      low     high                       eob\n",
       "0    20.8482  20.5742  20.3588  20.9167 2020-07-28 00:00:00+08:00\n",
       "1    20.5546  20.9657  20.1631  20.9755 2020-07-29 00:00:00+08:00\n",
       "2    20.9559  20.8580  20.7895  21.5236 2020-07-30 00:00:00+08:00\n",
       "3    20.6035  20.6623  20.4078  21.1321 2020-07-31 00:00:00+08:00\n",
       "4    20.6525  21.0440  20.6035  21.2985 2020-08-03 00:00:00+08:00\n",
       "..       ...      ...      ...      ...                       ...\n",
       "242  27.1500  26.5000  26.3300  27.2800 2021-07-26 00:00:00+08:00\n",
       "243  26.7800  25.1000  25.0500  26.9600 2021-07-27 00:00:00+08:00\n",
       "244  24.9300  24.9400  24.5200  25.3800 2021-07-28 00:00:00+08:00\n",
       "245  25.3500  25.5800  25.0100  25.8200 2021-07-29 00:00:00+08:00\n",
       "246  25.2400  24.8200  24.6000  25.2500 2021-07-30 00:00:00+08:00\n",
       "\n",
       "[247 rows x 5 columns]"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from gm.api import *\n",
    "\n",
    "set_token(\"eea4b28a3ceb7048603d388bb777ebc67de47385\")\n",
    "h2 = history(symbol='SHSE.600031', frequency='1d', start_time='2020-07-28',  end_time='2021-07-30', fields='open, close, low, high, eob', adjust=ADJUST_PREV, df= True)\n",
    "h2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "97ae0abf",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import pyecharts\n",
    "#import talib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "1397b5e8",
   "metadata": {},
   "outputs": [],
   "source": [
    "set_token(\"eea4b28a3ceb7048603d388bb777ebc67de47385\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "cba20c66",
   "metadata": {},
   "outputs": [],
   "source": [
    "h2 = history(symbol='SHSE.600031', frequency='1d', start_time='2020-07-28',  end_time='2021-07-30', fields='open, close, low, high, eob', adjust=ADJUST_PREV, df= True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "f0c0a6dd",
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>open</th>\n",
       "      <th>close</th>\n",
       "      <th>low</th>\n",
       "      <th>high</th>\n",
       "      <th>eob</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>20.8482</td>\n",
       "      <td>20.5742</td>\n",
       "      <td>20.3588</td>\n",
       "      <td>20.9167</td>\n",
       "      <td>2020-07-28 00:00:00+08:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>20.5546</td>\n",
       "      <td>20.9657</td>\n",
       "      <td>20.1631</td>\n",
       "      <td>20.9755</td>\n",
       "      <td>2020-07-29 00:00:00+08:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>20.9559</td>\n",
       "      <td>20.8580</td>\n",
       "      <td>20.7895</td>\n",
       "      <td>21.5236</td>\n",
       "      <td>2020-07-30 00:00:00+08:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>20.6035</td>\n",
       "      <td>20.6623</td>\n",
       "      <td>20.4078</td>\n",
       "      <td>21.1321</td>\n",
       "      <td>2020-07-31 00:00:00+08:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>20.6525</td>\n",
       "      <td>21.0440</td>\n",
       "      <td>20.6035</td>\n",
       "      <td>21.2985</td>\n",
       "      <td>2020-08-03 00:00:00+08:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>27.1500</td>\n",
       "      <td>26.5000</td>\n",
       "      <td>26.3300</td>\n",
       "      <td>27.2800</td>\n",
       "      <td>2021-07-26 00:00:00+08:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>26.7800</td>\n",
       "      <td>25.1000</td>\n",
       "      <td>25.0500</td>\n",
       "      <td>26.9600</td>\n",
       "      <td>2021-07-27 00:00:00+08:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>244</th>\n",
       "      <td>24.9300</td>\n",
       "      <td>24.9400</td>\n",
       "      <td>24.5200</td>\n",
       "      <td>25.3800</td>\n",
       "      <td>2021-07-28 00:00:00+08:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245</th>\n",
       "      <td>25.3500</td>\n",
       "      <td>25.5800</td>\n",
       "      <td>25.0100</td>\n",
       "      <td>25.8200</td>\n",
       "      <td>2021-07-29 00:00:00+08:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246</th>\n",
       "      <td>25.2400</td>\n",
       "      <td>24.8200</td>\n",
       "      <td>24.6000</td>\n",
       "      <td>25.2500</td>\n",
       "      <td>2021-07-30 00:00:00+08:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>247 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        open    close      low     high                       eob\n",
       "0    20.8482  20.5742  20.3588  20.9167 2020-07-28 00:00:00+08:00\n",
       "1    20.5546  20.9657  20.1631  20.9755 2020-07-29 00:00:00+08:00\n",
       "2    20.9559  20.8580  20.7895  21.5236 2020-07-30 00:00:00+08:00\n",
       "3    20.6035  20.6623  20.4078  21.1321 2020-07-31 00:00:00+08:00\n",
       "4    20.6525  21.0440  20.6035  21.2985 2020-08-03 00:00:00+08:00\n",
       "..       ...      ...      ...      ...                       ...\n",
       "242  27.1500  26.5000  26.3300  27.2800 2021-07-26 00:00:00+08:00\n",
       "243  26.7800  25.1000  25.0500  26.9600 2021-07-27 00:00:00+08:00\n",
       "244  24.9300  24.9400  24.5200  25.3800 2021-07-28 00:00:00+08:00\n",
       "245  25.3500  25.5800  25.0100  25.8200 2021-07-29 00:00:00+08:00\n",
       "246  25.2400  24.8200  24.6000  25.2500 2021-07-30 00:00:00+08:00\n",
       "\n",
       "[247 rows x 5 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "h2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "850df784",
   "metadata": {},
   "outputs": [],
   "source": [
    "#导入沪深300\n",
    "history_data = history(symbol='SHSE.000300', frequency='1d', start_time='2020-07-28',  end_time='2021-07-30', fields='open, close, low, high, eob', adjust=ADJUST_PREV, df= True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "e566e745",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>open</th>\n",
       "      <th>close</th>\n",
       "      <th>low</th>\n",
       "      <th>high</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4567.6689</td>\n",
       "      <td>4568.2578</td>\n",
       "      <td>4537.6851</td>\n",
       "      <td>4590.2495</td>\n",
       "      <td>2020-07-28 00:00:00+08:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4559.1636</td>\n",
       "      <td>4679.0078</td>\n",
       "      <td>4548.8535</td>\n",
       "      <td>4680.5581</td>\n",
       "      <td>2020-07-29 00:00:00+08:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4689.7632</td>\n",
       "      <td>4656.1504</td>\n",
       "      <td>4649.7676</td>\n",
       "      <td>4704.6304</td>\n",
       "      <td>2020-07-30 00:00:00+08:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4652.1826</td>\n",
       "      <td>4695.0464</td>\n",
       "      <td>4621.9634</td>\n",
       "      <td>4741.8086</td>\n",
       "      <td>2020-07-31 00:00:00+08:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4735.8984</td>\n",
       "      <td>4771.3110</td>\n",
       "      <td>4720.0249</td>\n",
       "      <td>4771.3696</td>\n",
       "      <td>2020-08-03 00:00:00+08:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>5067.3071</td>\n",
       "      <td>4925.2988</td>\n",
       "      <td>4859.6030</td>\n",
       "      <td>5067.3071</td>\n",
       "      <td>2021-07-26 00:00:00+08:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>4924.2817</td>\n",
       "      <td>4751.3130</td>\n",
       "      <td>4749.0327</td>\n",
       "      <td>4940.8599</td>\n",
       "      <td>2021-07-27 00:00:00+08:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>244</th>\n",
       "      <td>4714.2949</td>\n",
       "      <td>4760.4824</td>\n",
       "      <td>4663.9009</td>\n",
       "      <td>4785.6567</td>\n",
       "      <td>2021-07-28 00:00:00+08:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245</th>\n",
       "      <td>4845.7603</td>\n",
       "      <td>4850.2744</td>\n",
       "      <td>4800.0127</td>\n",
       "      <td>4857.9707</td>\n",
       "      <td>2021-07-29 00:00:00+08:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246</th>\n",
       "      <td>4825.7002</td>\n",
       "      <td>4811.1694</td>\n",
       "      <td>4761.0376</td>\n",
       "      <td>4825.7002</td>\n",
       "      <td>2021-07-30 00:00:00+08:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>247 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          open      close        low       high                       eob\n",
       "0    4567.6689  4568.2578  4537.6851  4590.2495 2020-07-28 00:00:00+08:00\n",
       "1    4559.1636  4679.0078  4548.8535  4680.5581 2020-07-29 00:00:00+08:00\n",
       "2    4689.7632  4656.1504  4649.7676  4704.6304 2020-07-30 00:00:00+08:00\n",
       "3    4652.1826  4695.0464  4621.9634  4741.8086 2020-07-31 00:00:00+08:00\n",
       "4    4735.8984  4771.3110  4720.0249  4771.3696 2020-08-03 00:00:00+08:00\n",
       "..         ...        ...        ...        ...                       ...\n",
       "242  5067.3071  4925.2988  4859.6030  5067.3071 2021-07-26 00:00:00+08:00\n",
       "243  4924.2817  4751.3130  4749.0327  4940.8599 2021-07-27 00:00:00+08:00\n",
       "244  4714.2949  4760.4824  4663.9009  4785.6567 2021-07-28 00:00:00+08:00\n",
       "245  4845.7603  4850.2744  4800.0127  4857.9707 2021-07-29 00:00:00+08:00\n",
       "246  4825.7002  4811.1694  4761.0376  4825.7002 2021-07-30 00:00:00+08:00\n",
       "\n",
       "[247 rows x 5 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "history_data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "613b0dc9",
   "metadata": {},
   "source": [
    "### 数据的选择与切片\n",
    "\n",
    "* 显式索引，顺序索引\n",
    "\n",
    "* 简单作图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "ecc31043",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "history_data[[\"open\",\"close\"]].plot(figsize=(18,5),style=\"-o\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "a5a77cbf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "history_data[[\"open\",\"close\"]].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "3a5e7df1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "history_data.loc[3:100,[\"open\",\"close\"]].plot(figsize=(18,5),style=\"-o\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "635309b9",
   "metadata": {},
   "source": [
    "## classwork 2\n",
    "\n",
    "* 读入中国联通的2019年的历史行情数据并每日开盘和收盘价的曲线图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "d49f8df2",
   "metadata": {},
   "outputs": [],
   "source": [
    "history_lt = history(symbol='SHSE.600050', frequency='1d', start_time='2019-01-01',  end_time='2020-01-01', fields='open, close, low, high, eob', adjust=ADJUST_PREV, df= True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "47250189",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "history_lt[[\"open\",\"close\"]].plot(figsize=(18,5),style=\"-o\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "291e505a",
   "metadata": {},
   "source": [
    "## 基于pyecharts的k线图\n",
    "\n",
    "\n",
    "更多的例子：\n",
    "\n",
    "https://gallery.pyecharts.org/#/Candlestick/README\n",
    "\n",
    "* k线图的基本意义"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "7f23762f",
   "metadata": {},
   "outputs": [],
   "source": [
    "## 官网例子\n",
    "from pyecharts import options as opts\n",
    "from pyecharts.charts import Kline\n",
    "\n",
    "data = [\n",
    "    [2320.26, 2320.26, 2287.3, 2362.94],\n",
    "    [2300, 2291.3, 2288.26, 2308.38],\n",
    "    [2295.35, 2346.5, 2295.35, 2345.92],\n",
    "    [2347.22, 2358.98, 2337.35, 2363.8],\n",
    "    [2360.75, 2382.48, 2347.89, 2383.76],\n",
    "    [2383.43, 2385.42, 2371.23, 2391.82],\n",
    "    [2377.41, 2419.02, 2369.57, 2421.15],\n",
    "    [2425.92, 2428.15, 2417.58, 2440.38],\n",
    "    [2411, 2433.13, 2403.3, 2437.42],\n",
    "    [2432.68, 2334.48, 2427.7, 2441.73],\n",
    "    [2430.69, 2418.53, 2394.22, 2433.89],\n",
    "    [2416.62, 2432.4, 2414.4, 2443.03],\n",
    "    [2441.91, 2421.56, 2418.43, 2444.8],\n",
    "    [2420.26, 2382.91, 2373.53, 2427.07],\n",
    "    [2383.49, 2397.18, 2370.61, 2397.94],\n",
    "    [2378.82, 2325.95, 2309.17, 2378.82],\n",
    "    [2322.94, 2314.16, 2308.76, 2330.88],\n",
    "    [2320.62, 2325.82, 2315.01, 2338.78],\n",
    "    [2313.74, 2293.34, 2289.89, 2340.71],\n",
    "    [2297.77, 2313.22, 2292.03, 2324.63],\n",
    "    [2322.32, 2365.59, 2308.92, 2366.16],\n",
    "    [2364.54, 2359.51, 2330.86, 2369.65],\n",
    "    [2332.08, 2273.4, 2259.25, 2333.54],\n",
    "    [2274.81, 2326.31, 2270.1, 2328.14],\n",
    "    [2333.61, 2347.18, 2321.6, 2351.44],\n",
    "    [2340.44, 2324.29, 2304.27, 2352.02],\n",
    "    [2326.42, 2318.61, 2314.59, 2333.67],\n",
    "    [2314.68, 2310.59, 2296.58, 2320.96],\n",
    "    [2309.16, 2286.6, 2264.83, 2333.29],\n",
    "    [2282.17, 2263.97, 2253.25, 2286.33],\n",
    "    [2255.77, 2270.28, 2253.31, 2276.22],\n",
    "]\n",
    "\n",
    "\n",
    "c = (\n",
    "    Kline()\n",
    "    .add_xaxis([\"2017/7/{}\".format(i + 1) for i in range(31)])\n",
    "    .add_yaxis(\"kline\", data)\n",
    "    .set_global_opts(\n",
    "        yaxis_opts=opts.AxisOpts(is_scale=True),\n",
    "        xaxis_opts=opts.AxisOpts(is_scale=True),\n",
    "        title_opts=opts.TitleOpts(title=\"Kline-基本示例\"),\n",
    "    )\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "5772ae7f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['2017/7/1',\n",
       " '2017/7/2',\n",
       " '2017/7/3',\n",
       " '2017/7/4',\n",
       " '2017/7/5',\n",
       " '2017/7/6',\n",
       " '2017/7/7',\n",
       " '2017/7/8',\n",
       " '2017/7/9',\n",
       " '2017/7/10',\n",
       " '2017/7/11',\n",
       " '2017/7/12',\n",
       " '2017/7/13',\n",
       " '2017/7/14',\n",
       " '2017/7/15',\n",
       " '2017/7/16',\n",
       " '2017/7/17',\n",
       " '2017/7/18',\n",
       " '2017/7/19',\n",
       " '2017/7/20',\n",
       " '2017/7/21',\n",
       " '2017/7/22',\n",
       " '2017/7/23',\n",
       " '2017/7/24',\n",
       " '2017/7/25',\n",
       " '2017/7/26',\n",
       " '2017/7/27',\n",
       " '2017/7/28',\n",
       " '2017/7/29',\n",
       " '2017/7/30',\n",
       " '2017/7/31']"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "[\"2017/7/{}\".format(i + 1) for i in range(31)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "7ecd90ba",
   "metadata": {},
   "outputs": [
    {
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       "            \"show\": true,\n",
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       "            \"itemWidth\": 25,\n",
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       "    \"tooltip\": {\n",
       "        \"show\": true,\n",
       "        \"trigger\": \"item\",\n",
       "        \"triggerOn\": \"mousemove|click\",\n",
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       "            \"type\": \"line\"\n",
       "        },\n",
       "        \"showContent\": true,\n",
       "        \"alwaysShowContent\": false,\n",
       "        \"showDelay\": 0,\n",
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       "        \"borderWidth\": 0,\n",
       "        \"padding\": 5\n",
       "    },\n",
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       "        {\n",
       "            \"show\": true,\n",
       "            \"scale\": true,\n",
       "            \"nameLocation\": \"end\",\n",
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       "                \"lineStyle\": {\n",
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       "            \"nameGap\": 15,\n",
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       "            \"inverse\": false,\n",
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       "                \"show\": false,\n",
       "                \"lineStyle\": {\n",
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       "                    \"type\": \"solid\"\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"text\": \"Kline-\\u57fa\\u672c\\u793a\\u4f8b\",\n",
       "            \"padding\": 5,\n",
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       "                chart_451bd3b44231446d80f42f431c4c2fd7.setOption(option_451bd3b44231446d80f42f431c4c2fd7);\n",
       "        });\n",
       "    </script>\n"
      ],
      "text/plain": [
       "<pyecharts.render.display.HTML at 0x19b91572508>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c.render_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "df4a731a",
   "metadata": {},
   "outputs": [
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       "        \"borderWidth\": 0,\n",
       "        \"padding\": 5\n",
       "    },\n",
       "    \"xAxis\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"scale\": true,\n",
       "            \"nameLocation\": \"end\",\n",
       "            \"nameGap\": 15,\n",
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       "                \"2017/7/30\",\n",
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       "            ]\n",
       "        }\n",
       "    ],\n",
       "    \"yAxis\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"scale\": true,\n",
       "            \"nameLocation\": \"end\",\n",
       "            \"nameGap\": 15,\n",
       "            \"gridIndex\": 0,\n",
       "            \"inverse\": false,\n",
       "            \"offset\": 0,\n",
       "            \"splitNumber\": 5,\n",
       "            \"minInterval\": 0,\n",
       "            \"splitLine\": {\n",
       "                \"show\": false,\n",
       "                \"lineStyle\": {\n",
       "                    \"show\": true,\n",
       "                    \"width\": 1,\n",
       "                    \"opacity\": 1,\n",
       "                    \"curveness\": 0,\n",
       "                    \"type\": \"solid\"\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"text\": \"Kline-\\u57fa\\u672c\\u793a\\u4f8b\",\n",
       "            \"padding\": 5,\n",
       "            \"itemGap\": 10\n",
       "        }\n",
       "    ]\n",
       "};\n",
       "                chart_189becb1fd7848868a3f29f301c4f92d.setOption(option_189becb1fd7848868a3f29f301c4f92d);\n",
       "        });\n",
       "    </script>\n"
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      "text/plain": [
       "<pyecharts.render.display.HTML at 0x1395125b708>"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c=Kline()\n",
    "c.add_xaxis([\"2017/7/{}\".format(i + 1) for i in range(31)])\n",
    "c.add_yaxis(\"kline\", data)\n",
    "c.set_global_opts(\n",
    "        title_opts=opts.TitleOpts(title=\"Kline-基本示例\"),\n",
    "    )\n",
    "c.render_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "9c030844",
   "metadata": {},
   "outputs": [],
   "source": [
    "x=[]\n",
    "y=[]\n",
    "for i in history_data.iterrows():\n",
    "    y.append(i[1].tolist()[0:4])\n",
    "    x.append(i[1][4])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "9f1a0fee",
   "metadata": {},
   "outputs": [
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       "                \"2021-07-06T00:00:00+08:00\",\n",
       "                \"2021-07-07T00:00:00+08:00\",\n",
       "                \"2021-07-08T00:00:00+08:00\",\n",
       "                \"2021-07-09T00:00:00+08:00\",\n",
       "                \"2021-07-12T00:00:00+08:00\",\n",
       "                \"2021-07-13T00:00:00+08:00\",\n",
       "                \"2021-07-14T00:00:00+08:00\",\n",
       "                \"2021-07-15T00:00:00+08:00\",\n",
       "                \"2021-07-16T00:00:00+08:00\",\n",
       "                \"2021-07-19T00:00:00+08:00\",\n",
       "                \"2021-07-20T00:00:00+08:00\",\n",
       "                \"2021-07-21T00:00:00+08:00\",\n",
       "                \"2021-07-22T00:00:00+08:00\",\n",
       "                \"2021-07-23T00:00:00+08:00\",\n",
       "                \"2021-07-26T00:00:00+08:00\",\n",
       "                \"2021-07-27T00:00:00+08:00\",\n",
       "                \"2021-07-28T00:00:00+08:00\",\n",
       "                \"2021-07-29T00:00:00+08:00\",\n",
       "                \"2021-07-30T00:00:00+08:00\"\n",
       "            ]\n",
       "        }\n",
       "    ],\n",
       "    \"yAxis\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"scale\": true,\n",
       "            \"nameLocation\": \"end\",\n",
       "            \"nameGap\": 15,\n",
       "            \"gridIndex\": 0,\n",
       "            \"inverse\": false,\n",
       "            \"offset\": 0,\n",
       "            \"splitNumber\": 5,\n",
       "            \"minInterval\": 0,\n",
       "            \"splitLine\": {\n",
       "                \"show\": false,\n",
       "                \"lineStyle\": {\n",
       "                    \"show\": true,\n",
       "                    \"width\": 1,\n",
       "                    \"opacity\": 1,\n",
       "                    \"curveness\": 0,\n",
       "                    \"type\": \"solid\"\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"text\": \"Kline-\\u57fa\\u672c\\u793a\\u4f8b\",\n",
       "            \"padding\": 5,\n",
       "            \"itemGap\": 10\n",
       "        }\n",
       "    ]\n",
       "};\n",
       "                chart_aff03b5080934fb4bd41012064e004c8.setOption(option_aff03b5080934fb4bd41012064e004c8);\n",
       "        });\n",
       "    </script>\n"
      ],
      "text/plain": [
       "<pyecharts.render.display.HTML at 0x19b91590ac8>"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c=Kline()\n",
    "c.add_xaxis(x)\n",
    "c.add_yaxis(\"kline\", y)\n",
    "c.set_global_opts(\n",
    "        title_opts=opts.TitleOpts(title=\"Kline-基本示例\"),\n",
    "    )\n",
    "c.render_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "d39d807b",
   "metadata": {},
   "outputs": [],
   "source": [
    "x=[]\n",
    "y=[]\n",
    "for i in history_data.iterrows():\n",
    "    y.append(i[1].tolist()[0:4])\n",
    "    x.append(i[1].values[4])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "2eb0a05e",
   "metadata": {},
   "outputs": [
    {
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       "                \"2021-04-08T00:00:00+08:00\",\n",
       "                \"2021-04-09T00:00:00+08:00\",\n",
       "                \"2021-04-12T00:00:00+08:00\",\n",
       "                \"2021-04-13T00:00:00+08:00\",\n",
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       "                \"2021-04-15T00:00:00+08:00\",\n",
       "                \"2021-04-16T00:00:00+08:00\",\n",
       "                \"2021-04-19T00:00:00+08:00\",\n",
       "                \"2021-04-20T00:00:00+08:00\",\n",
       "                \"2021-04-21T00:00:00+08:00\",\n",
       "                \"2021-04-22T00:00:00+08:00\",\n",
       "                \"2021-04-23T00:00:00+08:00\",\n",
       "                \"2021-04-26T00:00:00+08:00\",\n",
       "                \"2021-04-27T00:00:00+08:00\",\n",
       "                \"2021-04-28T00:00:00+08:00\",\n",
       "                \"2021-04-29T00:00:00+08:00\",\n",
       "                \"2021-04-30T00:00:00+08:00\",\n",
       "                \"2021-05-06T00:00:00+08:00\",\n",
       "                \"2021-05-07T00:00:00+08:00\",\n",
       "                \"2021-05-10T00:00:00+08:00\",\n",
       "                \"2021-05-11T00:00:00+08:00\",\n",
       "                \"2021-05-12T00:00:00+08:00\",\n",
       "                \"2021-05-13T00:00:00+08:00\",\n",
       "                \"2021-05-14T00:00:00+08:00\",\n",
       "                \"2021-05-17T00:00:00+08:00\",\n",
       "                \"2021-05-18T00:00:00+08:00\",\n",
       "                \"2021-05-19T00:00:00+08:00\",\n",
       "                \"2021-05-20T00:00:00+08:00\",\n",
       "                \"2021-05-21T00:00:00+08:00\",\n",
       "                \"2021-05-24T00:00:00+08:00\",\n",
       "                \"2021-05-25T00:00:00+08:00\",\n",
       "                \"2021-05-26T00:00:00+08:00\",\n",
       "                \"2021-05-27T00:00:00+08:00\",\n",
       "                \"2021-05-28T00:00:00+08:00\",\n",
       "                \"2021-05-31T00:00:00+08:00\",\n",
       "                \"2021-06-01T00:00:00+08:00\",\n",
       "                \"2021-06-02T00:00:00+08:00\",\n",
       "                \"2021-06-03T00:00:00+08:00\",\n",
       "                \"2021-06-04T00:00:00+08:00\",\n",
       "                \"2021-06-07T00:00:00+08:00\",\n",
       "                \"2021-06-08T00:00:00+08:00\",\n",
       "                \"2021-06-09T00:00:00+08:00\",\n",
       "                \"2021-06-10T00:00:00+08:00\",\n",
       "                \"2021-06-11T00:00:00+08:00\",\n",
       "                \"2021-06-15T00:00:00+08:00\",\n",
       "                \"2021-06-16T00:00:00+08:00\",\n",
       "                \"2021-06-17T00:00:00+08:00\",\n",
       "                \"2021-06-18T00:00:00+08:00\",\n",
       "                \"2021-06-21T00:00:00+08:00\",\n",
       "                \"2021-06-22T00:00:00+08:00\",\n",
       "                \"2021-06-23T00:00:00+08:00\",\n",
       "                \"2021-06-24T00:00:00+08:00\",\n",
       "                \"2021-06-25T00:00:00+08:00\",\n",
       "                \"2021-06-28T00:00:00+08:00\",\n",
       "                \"2021-06-29T00:00:00+08:00\",\n",
       "                \"2021-06-30T00:00:00+08:00\",\n",
       "                \"2021-07-01T00:00:00+08:00\",\n",
       "                \"2021-07-02T00:00:00+08:00\",\n",
       "                \"2021-07-05T00:00:00+08:00\",\n",
       "                \"2021-07-06T00:00:00+08:00\",\n",
       "                \"2021-07-07T00:00:00+08:00\",\n",
       "                \"2021-07-08T00:00:00+08:00\",\n",
       "                \"2021-07-09T00:00:00+08:00\",\n",
       "                \"2021-07-12T00:00:00+08:00\",\n",
       "                \"2021-07-13T00:00:00+08:00\",\n",
       "                \"2021-07-14T00:00:00+08:00\",\n",
       "                \"2021-07-15T00:00:00+08:00\",\n",
       "                \"2021-07-16T00:00:00+08:00\",\n",
       "                \"2021-07-19T00:00:00+08:00\",\n",
       "                \"2021-07-20T00:00:00+08:00\",\n",
       "                \"2021-07-21T00:00:00+08:00\",\n",
       "                \"2021-07-22T00:00:00+08:00\",\n",
       "                \"2021-07-23T00:00:00+08:00\",\n",
       "                \"2021-07-26T00:00:00+08:00\",\n",
       "                \"2021-07-27T00:00:00+08:00\",\n",
       "                \"2021-07-28T00:00:00+08:00\",\n",
       "                \"2021-07-29T00:00:00+08:00\",\n",
       "                \"2021-07-30T00:00:00+08:00\"\n",
       "            ]\n",
       "        }\n",
       "    ],\n",
       "    \"yAxis\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"scale\": true,\n",
       "            \"nameLocation\": \"end\",\n",
       "            \"nameGap\": 15,\n",
       "            \"gridIndex\": 0,\n",
       "            \"inverse\": false,\n",
       "            \"offset\": 0,\n",
       "            \"splitNumber\": 5,\n",
       "            \"minInterval\": 0,\n",
       "            \"splitLine\": {\n",
       "                \"show\": false,\n",
       "                \"lineStyle\": {\n",
       "                    \"show\": true,\n",
       "                    \"width\": 1,\n",
       "                    \"opacity\": 1,\n",
       "                    \"curveness\": 0,\n",
       "                    \"type\": \"solid\"\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"padding\": 5,\n",
       "            \"itemGap\": 10\n",
       "        }\n",
       "    ],\n",
       "    \"dataZoom\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"type\": \"inside\",\n",
       "            \"realtime\": true,\n",
       "            \"start\": 20,\n",
       "            \"end\": 80,\n",
       "            \"orient\": \"horizontal\",\n",
       "            \"zoomLock\": false,\n",
       "            \"filterMode\": \"filter\"\n",
       "        },\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"type\": \"slider\",\n",
       "            \"realtime\": true,\n",
       "            \"start\": 20,\n",
       "            \"end\": 80,\n",
       "            \"orient\": \"horizontal\",\n",
       "            \"zoomLock\": false,\n",
       "            \"filterMode\": \"filter\"\n",
       "        }\n",
       "    ]\n",
       "};\n",
       "                chart_51e550045d7b4dc685b759e4ee9a2734.setOption(option_51e550045d7b4dc685b759e4ee9a2734);\n",
       "        });\n",
       "    </script>\n"
      ],
      "text/plain": [
       "<pyecharts.render.display.HTML at 0x19b902f8988>"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c=Kline()\n",
    "c.add_xaxis(x)\n",
    "c.add_yaxis(\"kline\", y,itemstyle_opts=opts.ItemStyleOpts(color=\"pink\", color0=\"black\"))\n",
    "c.set_global_opts(datazoom_opts=[opts.DataZoomOpts(type_=\"inside\"),opts.DataZoomOpts(type_=\"slider\")]\n",
    "    )\n",
    "c.render_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "1cc6e612",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
       "<script>\n",
       "    require.config({\n",
       "        paths: {\n",
       "            'echarts':'https://assets.pyecharts.org/assets/echarts.min'\n",
       "        }\n",
       "    });\n",
       "</script>\n",
       "\n",
       "        <div id=\"ae659448cfb2413d964e528c9a32ba8a\" style=\"width:900px; height:500px;\"></div>\n",
       "\n",
       "<script>\n",
       "        require(['echarts'], function(echarts) {\n",
       "                var chart_ae659448cfb2413d964e528c9a32ba8a = echarts.init(\n",
       "                    document.getElementById('ae659448cfb2413d964e528c9a32ba8a'), 'white', {renderer: 'canvas'});\n",
       "                var option_ae659448cfb2413d964e528c9a32ba8a = {\n",
       "    \"animation\": true,\n",
       "    \"animationThreshold\": 2000,\n",
       "    \"animationDuration\": 1000,\n",
       "    \"animationEasing\": \"cubicOut\",\n",
       "    \"animationDelay\": 0,\n",
       "    \"animationDurationUpdate\": 300,\n",
       "    \"animationEasingUpdate\": \"cubicOut\",\n",
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       "        \"#2f4554\",\n",
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       "                \"2020-12-02T00:00:00+08:00\",\n",
       "                \"2020-12-03T00:00:00+08:00\",\n",
       "                \"2020-12-04T00:00:00+08:00\",\n",
       "                \"2020-12-07T00:00:00+08:00\",\n",
       "                \"2020-12-08T00:00:00+08:00\",\n",
       "                \"2020-12-09T00:00:00+08:00\",\n",
       "                \"2020-12-10T00:00:00+08:00\",\n",
       "                \"2020-12-11T00:00:00+08:00\",\n",
       "                \"2020-12-14T00:00:00+08:00\",\n",
       "                \"2020-12-15T00:00:00+08:00\",\n",
       "                \"2020-12-16T00:00:00+08:00\",\n",
       "                \"2020-12-17T00:00:00+08:00\",\n",
       "                \"2020-12-18T00:00:00+08:00\",\n",
       "                \"2020-12-21T00:00:00+08:00\",\n",
       "                \"2020-12-22T00:00:00+08:00\",\n",
       "                \"2020-12-23T00:00:00+08:00\",\n",
       "                \"2020-12-24T00:00:00+08:00\",\n",
       "                \"2020-12-25T00:00:00+08:00\",\n",
       "                \"2020-12-28T00:00:00+08:00\",\n",
       "                \"2020-12-29T00:00:00+08:00\",\n",
       "                \"2020-12-30T00:00:00+08:00\",\n",
       "                \"2020-12-31T00:00:00+08:00\",\n",
       "                \"2021-01-04T00:00:00+08:00\",\n",
       "                \"2021-01-05T00:00:00+08:00\",\n",
       "                \"2021-01-06T00:00:00+08:00\",\n",
       "                \"2021-01-07T00:00:00+08:00\",\n",
       "                \"2021-01-08T00:00:00+08:00\",\n",
       "                \"2021-01-11T00:00:00+08:00\",\n",
       "                \"2021-01-12T00:00:00+08:00\",\n",
       "                \"2021-01-13T00:00:00+08:00\",\n",
       "                \"2021-01-14T00:00:00+08:00\",\n",
       "                \"2021-01-15T00:00:00+08:00\",\n",
       "                \"2021-01-18T00:00:00+08:00\",\n",
       "                \"2021-01-19T00:00:00+08:00\",\n",
       "                \"2021-01-20T00:00:00+08:00\",\n",
       "                \"2021-01-21T00:00:00+08:00\",\n",
       "                \"2021-01-22T00:00:00+08:00\",\n",
       "                \"2021-01-25T00:00:00+08:00\",\n",
       "                \"2021-01-26T00:00:00+08:00\",\n",
       "                \"2021-01-27T00:00:00+08:00\",\n",
       "                \"2021-01-28T00:00:00+08:00\",\n",
       "                \"2021-01-29T00:00:00+08:00\",\n",
       "                \"2021-02-01T00:00:00+08:00\",\n",
       "                \"2021-02-02T00:00:00+08:00\",\n",
       "                \"2021-02-03T00:00:00+08:00\",\n",
       "                \"2021-02-04T00:00:00+08:00\",\n",
       "                \"2021-02-05T00:00:00+08:00\",\n",
       "                \"2021-02-08T00:00:00+08:00\",\n",
       "                \"2021-02-09T00:00:00+08:00\",\n",
       "                \"2021-02-10T00:00:00+08:00\",\n",
       "                \"2021-02-18T00:00:00+08:00\",\n",
       "                \"2021-02-19T00:00:00+08:00\",\n",
       "                \"2021-02-22T00:00:00+08:00\",\n",
       "                \"2021-02-23T00:00:00+08:00\",\n",
       "                \"2021-02-24T00:00:00+08:00\",\n",
       "                \"2021-02-25T00:00:00+08:00\",\n",
       "                \"2021-02-26T00:00:00+08:00\",\n",
       "                \"2021-03-01T00:00:00+08:00\",\n",
       "                \"2021-03-02T00:00:00+08:00\",\n",
       "                \"2021-03-03T00:00:00+08:00\",\n",
       "                \"2021-03-04T00:00:00+08:00\",\n",
       "                \"2021-03-05T00:00:00+08:00\",\n",
       "                \"2021-03-08T00:00:00+08:00\",\n",
       "                \"2021-03-09T00:00:00+08:00\",\n",
       "                \"2021-03-10T00:00:00+08:00\",\n",
       "                \"2021-03-11T00:00:00+08:00\",\n",
       "                \"2021-03-12T00:00:00+08:00\",\n",
       "                \"2021-03-15T00:00:00+08:00\",\n",
       "                \"2021-03-16T00:00:00+08:00\",\n",
       "                \"2021-03-17T00:00:00+08:00\",\n",
       "                \"2021-03-18T00:00:00+08:00\",\n",
       "                \"2021-03-19T00:00:00+08:00\",\n",
       "                \"2021-03-22T00:00:00+08:00\",\n",
       "                \"2021-03-23T00:00:00+08:00\",\n",
       "                \"2021-03-24T00:00:00+08:00\",\n",
       "                \"2021-03-25T00:00:00+08:00\",\n",
       "                \"2021-03-26T00:00:00+08:00\",\n",
       "                \"2021-03-29T00:00:00+08:00\",\n",
       "                \"2021-03-30T00:00:00+08:00\",\n",
       "                \"2021-03-31T00:00:00+08:00\",\n",
       "                \"2021-04-01T00:00:00+08:00\",\n",
       "                \"2021-04-02T00:00:00+08:00\",\n",
       "                \"2021-04-06T00:00:00+08:00\",\n",
       "                \"2021-04-07T00:00:00+08:00\",\n",
       "                \"2021-04-08T00:00:00+08:00\",\n",
       "                \"2021-04-09T00:00:00+08:00\",\n",
       "                \"2021-04-12T00:00:00+08:00\",\n",
       "                \"2021-04-13T00:00:00+08:00\",\n",
       "                \"2021-04-14T00:00:00+08:00\",\n",
       "                \"2021-04-15T00:00:00+08:00\",\n",
       "                \"2021-04-16T00:00:00+08:00\",\n",
       "                \"2021-04-19T00:00:00+08:00\",\n",
       "                \"2021-04-20T00:00:00+08:00\",\n",
       "                \"2021-04-21T00:00:00+08:00\",\n",
       "                \"2021-04-22T00:00:00+08:00\",\n",
       "                \"2021-04-23T00:00:00+08:00\",\n",
       "                \"2021-04-26T00:00:00+08:00\",\n",
       "                \"2021-04-27T00:00:00+08:00\",\n",
       "                \"2021-04-28T00:00:00+08:00\",\n",
       "                \"2021-04-29T00:00:00+08:00\",\n",
       "                \"2021-04-30T00:00:00+08:00\",\n",
       "                \"2021-05-06T00:00:00+08:00\",\n",
       "                \"2021-05-07T00:00:00+08:00\",\n",
       "                \"2021-05-10T00:00:00+08:00\",\n",
       "                \"2021-05-11T00:00:00+08:00\",\n",
       "                \"2021-05-12T00:00:00+08:00\",\n",
       "                \"2021-05-13T00:00:00+08:00\",\n",
       "                \"2021-05-14T00:00:00+08:00\",\n",
       "                \"2021-05-17T00:00:00+08:00\",\n",
       "                \"2021-05-18T00:00:00+08:00\",\n",
       "                \"2021-05-19T00:00:00+08:00\",\n",
       "                \"2021-05-20T00:00:00+08:00\",\n",
       "                \"2021-05-21T00:00:00+08:00\",\n",
       "                \"2021-05-24T00:00:00+08:00\",\n",
       "                \"2021-05-25T00:00:00+08:00\",\n",
       "                \"2021-05-26T00:00:00+08:00\",\n",
       "                \"2021-05-27T00:00:00+08:00\",\n",
       "                \"2021-05-28T00:00:00+08:00\",\n",
       "                \"2021-05-31T00:00:00+08:00\",\n",
       "                \"2021-06-01T00:00:00+08:00\",\n",
       "                \"2021-06-02T00:00:00+08:00\",\n",
       "                \"2021-06-03T00:00:00+08:00\",\n",
       "                \"2021-06-04T00:00:00+08:00\",\n",
       "                \"2021-06-07T00:00:00+08:00\",\n",
       "                \"2021-06-08T00:00:00+08:00\",\n",
       "                \"2021-06-09T00:00:00+08:00\",\n",
       "                \"2021-06-10T00:00:00+08:00\",\n",
       "                \"2021-06-11T00:00:00+08:00\",\n",
       "                \"2021-06-15T00:00:00+08:00\",\n",
       "                \"2021-06-16T00:00:00+08:00\",\n",
       "                \"2021-06-17T00:00:00+08:00\",\n",
       "                \"2021-06-18T00:00:00+08:00\",\n",
       "                \"2021-06-21T00:00:00+08:00\",\n",
       "                \"2021-06-22T00:00:00+08:00\",\n",
       "                \"2021-06-23T00:00:00+08:00\",\n",
       "                \"2021-06-24T00:00:00+08:00\",\n",
       "                \"2021-06-25T00:00:00+08:00\",\n",
       "                \"2021-06-28T00:00:00+08:00\",\n",
       "                \"2021-06-29T00:00:00+08:00\",\n",
       "                \"2021-06-30T00:00:00+08:00\",\n",
       "                \"2021-07-01T00:00:00+08:00\",\n",
       "                \"2021-07-02T00:00:00+08:00\",\n",
       "                \"2021-07-05T00:00:00+08:00\",\n",
       "                \"2021-07-06T00:00:00+08:00\",\n",
       "                \"2021-07-07T00:00:00+08:00\",\n",
       "                \"2021-07-08T00:00:00+08:00\",\n",
       "                \"2021-07-09T00:00:00+08:00\",\n",
       "                \"2021-07-12T00:00:00+08:00\",\n",
       "                \"2021-07-13T00:00:00+08:00\",\n",
       "                \"2021-07-14T00:00:00+08:00\",\n",
       "                \"2021-07-15T00:00:00+08:00\",\n",
       "                \"2021-07-16T00:00:00+08:00\",\n",
       "                \"2021-07-19T00:00:00+08:00\",\n",
       "                \"2021-07-20T00:00:00+08:00\",\n",
       "                \"2021-07-21T00:00:00+08:00\",\n",
       "                \"2021-07-22T00:00:00+08:00\",\n",
       "                \"2021-07-23T00:00:00+08:00\",\n",
       "                \"2021-07-26T00:00:00+08:00\",\n",
       "                \"2021-07-27T00:00:00+08:00\",\n",
       "                \"2021-07-28T00:00:00+08:00\",\n",
       "                \"2021-07-29T00:00:00+08:00\",\n",
       "                \"2021-07-30T00:00:00+08:00\"\n",
       "            ]\n",
       "        }\n",
       "    ],\n",
       "    \"yAxis\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"scale\": true,\n",
       "            \"nameLocation\": \"end\",\n",
       "            \"nameGap\": 15,\n",
       "            \"gridIndex\": 0,\n",
       "            \"inverse\": false,\n",
       "            \"offset\": 0,\n",
       "            \"splitNumber\": 5,\n",
       "            \"minInterval\": 0,\n",
       "            \"splitLine\": {\n",
       "                \"show\": false,\n",
       "                \"lineStyle\": {\n",
       "                    \"show\": true,\n",
       "                    \"width\": 1,\n",
       "                    \"opacity\": 1,\n",
       "                    \"curveness\": 0,\n",
       "                    \"type\": \"solid\"\n",
       "                }\n",
       "            },\n",
       "            \"splitArea\": {\n",
       "                \"show\": true,\n",
       "                \"areaStyle\": {\n",
       "                    \"opacity\": 1\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"text\": \"Kline-\\u57fa\\u672c\\u793a\\u4f8b\",\n",
       "            \"padding\": 5,\n",
       "            \"itemGap\": 10\n",
       "        }\n",
       "    ],\n",
       "    \"dataZoom\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"type\": \"inside\",\n",
       "            \"realtime\": true,\n",
       "            \"start\": 20,\n",
       "            \"end\": 80,\n",
       "            \"orient\": \"horizontal\",\n",
       "            \"zoomLock\": false,\n",
       "            \"filterMode\": \"filter\"\n",
       "        },\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"type\": \"slider\",\n",
       "            \"realtime\": true,\n",
       "            \"start\": 20,\n",
       "            \"end\": 80,\n",
       "            \"orient\": \"horizontal\",\n",
       "            \"zoomLock\": false,\n",
       "            \"filterMode\": \"filter\"\n",
       "        }\n",
       "    ]\n",
       "};\n",
       "                chart_ae659448cfb2413d964e528c9a32ba8a.setOption(option_ae659448cfb2413d964e528c9a32ba8a);\n",
       "        });\n",
       "    </script>\n"
      ],
      "text/plain": [
       "<pyecharts.render.display.HTML at 0x19b915e1c88>"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "k1=Kline()\n",
    "k1.add_xaxis(x)\n",
    "k1.add_yaxis(\"kline\", y,itemstyle_opts=opts.ItemStyleOpts(color=\"pink\", color0=\"black\"),)\n",
    "k1.set_global_opts(\n",
    "        yaxis_opts=opts.AxisOpts(is_scale=True,splitarea_opts=opts.SplitAreaOpts(areastyle_opts=opts.AreaStyleOpts(opacity=1)\n",
    "            )),\n",
    "        xaxis_opts=opts.AxisOpts(is_scale=True),\n",
    "        title_opts=opts.TitleOpts(title=\"Kline-基本示例\"),datazoom_opts=[opts.DataZoomOpts(type_=\"inside\"),opts.DataZoomOpts(type_=\"slider\")]\n",
    "    )\n",
    "k1.render_notebook()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3e2b9035",
   "metadata": {},
   "source": [
    "## classwork3\n",
    "\n",
    "* 请做出中国联通的2021-01-01到当前的k线图\n",
    "\n",
    "* 请自行修改对应参数了解参数的作用\n",
    "\n",
    "* 能否自己通过学习pyechart的官网例子做出每天的最高价的曲线图\n",
    "https://gallery.pyecharts.org/#/Line/README"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "5aaadda2",
   "metadata": {},
   "outputs": [],
   "source": [
    "history_lt = history(symbol='SHSE.600050', frequency='1d', start_time='2021-01-01',  end_time='2022-02-24', fields='open, close, low, high, eob', adjust=ADJUST_PREV, df= True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "ac862654",
   "metadata": {},
   "outputs": [],
   "source": [
    "x=[]\n",
    "y=[]\n",
    "for i in history_lt.iterrows():\n",
    "    y.append(i[1].tolist()[0:4])\n",
    "    x.append(i[1].values[4])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "37f61441",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<script>\n",
       "    require.config({\n",
       "        paths: {\n",
       "            'echarts':'https://assets.pyecharts.org/assets/echarts.min'\n",
       "        }\n",
       "    });\n",
       "</script>\n",
       "\n",
       "        <div id=\"ceafada971e0451bba36c5d39156fcf2\" style=\"width:900px; height:500px;\"></div>\n",
       "\n",
       "<script>\n",
       "        require(['echarts'], function(echarts) {\n",
       "                var chart_ceafada971e0451bba36c5d39156fcf2 = echarts.init(\n",
       "                    document.getElementById('ceafada971e0451bba36c5d39156fcf2'), 'white', {renderer: 'canvas'});\n",
       "                var option_ceafada971e0451bba36c5d39156fcf2 = {\n",
       "    \"animation\": true,\n",
       "    \"animationThreshold\": 2000,\n",
       "    \"animationDuration\": 1000,\n",
       "    \"animationEasing\": \"cubicOut\",\n",
       "    \"animationDelay\": 0,\n",
       "    \"animationDurationUpdate\": 300,\n",
       "    \"animationEasingUpdate\": \"cubicOut\",\n",
       "    \"animationDelayUpdate\": 0,\n",
       "    \"color\": [\n",
       "        \"#c23531\",\n",
       "        \"#2f4554\",\n",
       "        \"#61a0a8\",\n",
       "        \"#d48265\",\n",
       "        \"#749f83\",\n",
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       "        \"#6e7074\",\n",
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       "        \"#ef5b9c\",\n",
       "        \"#f47920\",\n",
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       "        \"#444693\",\n",
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       "        \"#ac6767\",\n",
       "        \"#1d953f\",\n",
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       "        \"#918597\"\n",
       "    ],\n",
       "    \"series\": [\n",
       "        {\n",
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       "            \"name\": \"kline\",\n",
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       "                \"2021-09-23T00:00:00+08:00\",\n",
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       "                \"2021-10-29T00:00:00+08:00\",\n",
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       "                \"2021-11-10T00:00:00+08:00\",\n",
       "                \"2021-11-11T00:00:00+08:00\",\n",
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       "                \"2021-11-15T00:00:00+08:00\",\n",
       "                \"2021-11-16T00:00:00+08:00\",\n",
       "                \"2021-11-17T00:00:00+08:00\",\n",
       "                \"2021-11-18T00:00:00+08:00\",\n",
       "                \"2021-11-19T00:00:00+08:00\",\n",
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       "                \"2021-11-23T00:00:00+08:00\",\n",
       "                \"2021-11-24T00:00:00+08:00\",\n",
       "                \"2021-11-25T00:00:00+08:00\",\n",
       "                \"2021-11-26T00:00:00+08:00\",\n",
       "                \"2021-11-29T00:00:00+08:00\",\n",
       "                \"2021-11-30T00:00:00+08:00\",\n",
       "                \"2021-12-01T00:00:00+08:00\",\n",
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       "                \"2021-12-09T00:00:00+08:00\",\n",
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       "                \"2021-12-13T00:00:00+08:00\",\n",
       "                \"2021-12-14T00:00:00+08:00\",\n",
       "                \"2021-12-15T00:00:00+08:00\",\n",
       "                \"2021-12-16T00:00:00+08:00\",\n",
       "                \"2021-12-17T00:00:00+08:00\",\n",
       "                \"2021-12-20T00:00:00+08:00\",\n",
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       "                \"2021-12-22T00:00:00+08:00\",\n",
       "                \"2021-12-23T00:00:00+08:00\",\n",
       "                \"2021-12-24T00:00:00+08:00\",\n",
       "                \"2021-12-27T00:00:00+08:00\",\n",
       "                \"2021-12-28T00:00:00+08:00\",\n",
       "                \"2021-12-29T00:00:00+08:00\",\n",
       "                \"2021-12-30T00:00:00+08:00\",\n",
       "                \"2021-12-31T00:00:00+08:00\",\n",
       "                \"2022-01-04T00:00:00+08:00\",\n",
       "                \"2022-01-05T00:00:00+08:00\",\n",
       "                \"2022-01-06T00:00:00+08:00\",\n",
       "                \"2022-01-07T00:00:00+08:00\",\n",
       "                \"2022-01-10T00:00:00+08:00\",\n",
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       "                \"2022-01-12T00:00:00+08:00\",\n",
       "                \"2022-01-13T00:00:00+08:00\",\n",
       "                \"2022-01-14T00:00:00+08:00\",\n",
       "                \"2022-01-17T00:00:00+08:00\",\n",
       "                \"2022-01-18T00:00:00+08:00\",\n",
       "                \"2022-01-19T00:00:00+08:00\",\n",
       "                \"2022-01-20T00:00:00+08:00\",\n",
       "                \"2022-01-21T00:00:00+08:00\",\n",
       "                \"2022-01-24T00:00:00+08:00\",\n",
       "                \"2022-01-25T00:00:00+08:00\",\n",
       "                \"2022-01-26T00:00:00+08:00\",\n",
       "                \"2022-01-27T00:00:00+08:00\",\n",
       "                \"2022-01-28T00:00:00+08:00\",\n",
       "                \"2022-02-07T00:00:00+08:00\",\n",
       "                \"2022-02-08T00:00:00+08:00\",\n",
       "                \"2022-02-09T00:00:00+08:00\",\n",
       "                \"2022-02-10T00:00:00+08:00\",\n",
       "                \"2022-02-11T00:00:00+08:00\",\n",
       "                \"2022-02-14T00:00:00+08:00\",\n",
       "                \"2022-02-15T00:00:00+08:00\",\n",
       "                \"2022-02-16T00:00:00+08:00\",\n",
       "                \"2022-02-17T00:00:00+08:00\",\n",
       "                \"2022-02-18T00:00:00+08:00\",\n",
       "                \"2022-02-21T00:00:00+08:00\",\n",
       "                \"2022-02-22T00:00:00+08:00\",\n",
       "                \"2022-02-23T00:00:00+08:00\"\n",
       "            ]\n",
       "        }\n",
       "    ],\n",
       "    \"yAxis\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"scale\": true,\n",
       "            \"nameLocation\": \"end\",\n",
       "            \"nameGap\": 15,\n",
       "            \"gridIndex\": 0,\n",
       "            \"inverse\": false,\n",
       "            \"offset\": 0,\n",
       "            \"splitNumber\": 5,\n",
       "            \"minInterval\": 0,\n",
       "            \"splitLine\": {\n",
       "                \"show\": false,\n",
       "                \"lineStyle\": {\n",
       "                    \"show\": true,\n",
       "                    \"width\": 1,\n",
       "                    \"opacity\": 1,\n",
       "                    \"curveness\": 0,\n",
       "                    \"type\": \"solid\"\n",
       "                }\n",
       "            },\n",
       "            \"splitArea\": {\n",
       "                \"show\": true,\n",
       "                \"areaStyle\": {\n",
       "                    \"opacity\": 1\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"text\": \"Kline-\\u57fa\\u672c\\u793a\\u4f8b\",\n",
       "            \"padding\": 5,\n",
       "            \"itemGap\": 10\n",
       "        }\n",
       "    ],\n",
       "    \"dataZoom\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"type\": \"inside\",\n",
       "            \"realtime\": true,\n",
       "            \"start\": 20,\n",
       "            \"end\": 80,\n",
       "            \"orient\": \"horizontal\",\n",
       "            \"zoomLock\": false,\n",
       "            \"filterMode\": \"filter\"\n",
       "        },\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"type\": \"slider\",\n",
       "            \"realtime\": true,\n",
       "            \"start\": 20,\n",
       "            \"end\": 80,\n",
       "            \"orient\": \"horizontal\",\n",
       "            \"zoomLock\": false,\n",
       "            \"filterMode\": \"filter\"\n",
       "        }\n",
       "    ]\n",
       "};\n",
       "                chart_ceafada971e0451bba36c5d39156fcf2.setOption(option_ceafada971e0451bba36c5d39156fcf2);\n",
       "        });\n",
       "    </script>\n"
      ],
      "text/plain": [
       "<pyecharts.render.display.HTML at 0x19b915e6408>"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "k1=Kline()\n",
    "k1.add_xaxis(x)\n",
    "k1.add_yaxis(\"kline\", y,itemstyle_opts=opts.ItemStyleOpts(color=\"pink\", color0=\"black\"),)\n",
    "k1.set_global_opts(\n",
    "        yaxis_opts=opts.AxisOpts(is_scale=True,splitarea_opts=opts.SplitAreaOpts(areastyle_opts=opts.AreaStyleOpts(opacity=1)\n",
    "            )),\n",
    "        xaxis_opts=opts.AxisOpts(is_scale=True),\n",
    "        title_opts=opts.TitleOpts(title=\"Kline-基本示例\"),datazoom_opts=[opts.DataZoomOpts(type_=\"inside\"),opts.DataZoomOpts(type_=\"slider\")]\n",
    "    )\n",
    "k1.render_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "61d5f97a",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
       "<script>\n",
       "    require.config({\n",
       "        paths: {\n",
       "            'echarts':'https://assets.pyecharts.org/assets/echarts.min'\n",
       "        }\n",
       "    });\n",
       "</script>\n",
       "\n",
       "        <div id=\"baf9186efcdd403da671ee8959fc56fc\" style=\"width:900px; height:500px;\"></div>\n",
       "\n",
       "<script>\n",
       "        require(['echarts'], function(echarts) {\n",
       "                var chart_baf9186efcdd403da671ee8959fc56fc = echarts.init(\n",
       "                    document.getElementById('baf9186efcdd403da671ee8959fc56fc'), 'white', {renderer: 'canvas'});\n",
       "                var option_baf9186efcdd403da671ee8959fc56fc = {\n",
       "    \"animation\": true,\n",
       "    \"animationThreshold\": 2000,\n",
       "    \"animationDuration\": 1000,\n",
       "    \"animationEasing\": \"cubicOut\",\n",
       "    \"animationDelay\": 0,\n",
       "    \"animationDurationUpdate\": 300,\n",
       "    \"animationEasingUpdate\": \"cubicOut\",\n",
       "    \"animationDelayUpdate\": 0,\n",
       "    \"color\": [\n",
       "        \"#c23531\",\n",
       "        \"#2f4554\",\n",
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       "        \"#bda29a\",\n",
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       "        \"#ef5b9c\",\n",
       "        \"#f47920\",\n",
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       "        \"#726930\",\n",
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       "        \"#6d8346\",\n",
       "        \"#ac6767\",\n",
       "        \"#1d953f\",\n",
       "        \"#6950a1\",\n",
       "        \"#918597\"\n",
       "    ],\n",
       "    \"series\": [\n",
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       "            \"type\": \"line\",\n",
       "            \"name\": \"\\u4e2d\\u56fd\\u8054\\u901a\",\n",
       "            \"connectNulls\": false,\n",
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       "                    \"2021-04-16T00:00:00+08:00\",\n",
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       "                    \"2021-06-23T00:00:00+08:00\",\n",
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       "                    \"2021-06-28T00:00:00+08:00\",\n",
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       "                    \"2021-06-29T00:00:00+08:00\",\n",
       "                    4.3802\n",
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       "                [\n",
       "                    \"2021-06-30T00:00:00+08:00\",\n",
       "                    4.3475\n",
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       "                    \"2021-07-01T00:00:00+08:00\",\n",
       "                    4.3178\n",
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       "                [\n",
       "                    \"2021-07-02T00:00:00+08:00\",\n",
       "                    4.2783\n",
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       "                [\n",
       "                    \"2021-07-08T00:00:00+08:00\",\n",
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       "                [\n",
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       "                    \"2021-07-12T00:00:00+08:00\",\n",
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       "                [\n",
       "                    \"2021-07-13T00:00:00+08:00\",\n",
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       "                [\n",
       "                    \"2021-07-14T00:00:00+08:00\",\n",
       "                    4.1795\n",
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       "                [\n",
       "                    \"2021-07-15T00:00:00+08:00\",\n",
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       "            \"padding\": 5,\n",
       "            \"itemGap\": 10\n",
       "        }\n",
       "    ],\n",
       "    \"dataZoom\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"type\": \"inside\",\n",
       "            \"realtime\": true,\n",
       "            \"start\": 20,\n",
       "            \"end\": 80,\n",
       "            \"orient\": \"horizontal\",\n",
       "            \"zoomLock\": false,\n",
       "            \"filterMode\": \"filter\"\n",
       "        },\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"type\": \"slider\",\n",
       "            \"realtime\": true,\n",
       "            \"start\": 20,\n",
       "            \"end\": 80,\n",
       "            \"orient\": \"horizontal\",\n",
       "            \"zoomLock\": false,\n",
       "            \"filterMode\": \"filter\"\n",
       "        }\n",
       "    ]\n",
       "};\n",
       "                chart_baf9186efcdd403da671ee8959fc56fc.setOption(option_baf9186efcdd403da671ee8959fc56fc);\n",
       "        });\n",
       "    </script>\n"
      ],
      "text/plain": [
       "<pyecharts.render.display.HTML at 0x19b9190d048>"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from pyecharts.charts import Line\n",
    "from pyecharts.faker import Faker\n",
    "\n",
    "L=Line()\n",
    "L.add_xaxis(x)\n",
    "L.add_yaxis(\"中国联通\", history_lt.high.tolist())\n",
    "L.set_global_opts(title_opts=opts.TitleOpts(title=\"最高价\"))\n",
    "L.set_global_opts(\n",
    "        yaxis_opts=opts.AxisOpts(is_scale=True,splitarea_opts=opts.SplitAreaOpts(areastyle_opts=opts.AreaStyleOpts(opacity=1)\n",
    "            )),\n",
    "        xaxis_opts=opts.AxisOpts(is_scale=True),\n",
    "        title_opts=opts.TitleOpts(title=\"Kline-基本示例\"),datazoom_opts=[opts.DataZoomOpts(type_=\"inside\"),opts.DataZoomOpts(type_=\"slider\")]\n",
    "    )\n",
    "L.render_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4e40054b",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.12"
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 "nbformat": 4,
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